Hexbin Plots As A Richer Alternative to Scatter Plots
Scatter plots are extremely useful for visualizing two sets of numerical variables. But when you have, say, thousands of data points, scatter plots can get too dense to interpret.
Hexbins can be a good choice in such cases. As the name suggests, they bin the area of a chart into hexagonal regions. Each region is assigned a color intensity based on the method of aggregation used (the number of points, for instance).
Hexbins are especially useful for understanding the spread of data. It is often considered an elegant alternative to a scatter plot. Moreover, binning makes it easier to identify data clusters and depict patterns.
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